摘要
根据边坡位移时间序列的非线性性质 ,应用基于相空间重构的实时预测方法 ,可以充分利用时间序列信息 ,预测各种边坡变形演化趋势。讨论了局域法和基于Lyapunov指数的预测法。实例研究表明 。
According to the nonlinear characteristics of slope displacement time series,the information offered by the time series datum sets can be fully exploited and the trend of slope displacement evolution can be precisely predicted by making real time forecasting based on phase space reconstruction. The method of local function approximation and the prediction based on Lyapunov exponents are discussed in this paper. The examples suggest that the methods based on phase space reconstruction are more accurate and more adaptable than the decomposition model of non stationary time series.
出处
《岩土力学》
EI
CSCD
2000年第3期205-208,共4页
Rock and Soil Mechanics
关键词
混沌时间序列
相空间重构
边坡位移预测
chaotic time series
phase space reconstruction
Lyapunov exponents
shope displacement forecasting
